ArticleMedicine2020
Clinical assessment of synbiotics for treating chronic kidney disease: A protocol for systematic review and meta-analysis.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis research aims to evaluate the efficacy and safety of synbiotics for treating chronic kidney disease.
methodsRelated articles written in English were sourced from EMBASE, PubMed, Cochrane Library, and China National Knowledge Infrastructure. These articles were used in the evaluation of the effect of synbiotics for treating chronic kidney disease. The extent of the relationship was assessed by calculating the pooled risk ratio, mean differences or standardized mean difference along with the equivalent 95% confidence intervals. The risk of bias introduced through each study was considered by adopting the Cochrane Risk of Bias Tool. Suitable statistical research methods were utilized for the synthesis of the data. The RevMan 5.3 software was used to conduct all statistical analysis.
resultsThe final results of the current study is due to be included in a peer-reviewed journal.
conclusionThe final remarks of the current study will be useful evidence for determining whether synbiotics is an effective and safe therapeutic method for treating chronic kidney disease. OSF REGISTRATION NUMBER: DOI 10.17605/OSF.IO/UASF4 (https://osf.io/uasf4/).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.